Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks

29 Dec 2015Uri ShahamRoy Lederman

We consider the statistical problem of learning common source of variability in data which are synchronously captured by multiple sensors, and demonstrate that Siamese neural networks can be naturally applied to this problem. This approach is useful in particular in exploratory, data-driven applications, where neither a model nor label information is available... (read more)

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